About
Lintrule is a command line tool designed to leverage large language models (LLMs) for conducting thorough code reviews. It enables developers to enforce coding policies that linters might overlook, identify bugs that tests do not catch, and enhance the code review process without expending excessive team resources. Unlike traditional static code analysis tools, Lintrule runs the rules in parallel and checks code changes through git diffs to efficiently manage large codebases. It's particularly useful for ensuring compliance with standards like SOC2 through customizable, plain language rules. Lintrule operates on a pay-per-use model, charging $1.00 for every 1,000 lines of code changed, making it scalable for small to large projects, from a few contributors to nearly two hundred. By default, Lintrule executes on git diff changes to minimize costs, but users can adjust the settings to meet specific project needs.
Competitive Advantage
Utilizes LLMs to perform more insightful and efficient code reviews than traditional static analyzers.
Use Cases
Pros
- Leverages LLMs for deeper insights
- Runs on git diffs to save cost
- Customizable rule sets
- Parallel rule execution
Cons
- Potential for false positives
- Can be costly for large projects
- Requires configuration
- Limited to code changes
Tags
Pricing
Features and Benefits
Plain Language Rule Writing
Allows users to write code rules in plain language, facilitating easy customization and compliance checks.
Git Diff-Based Execution
Operates on code changes from git diffs, only running checks that are necessary, thus saving time and cost.
Parallel Rule Execution
Runs multiple rules in parallel, speeding up the review process irrespective of the rule count.
Customizable Rule Sets
Users can define specific rule sets for different files and scenarios, providing flexibility and precision in reviews.
Target Audience
Frequently Asked Questions
Yes, it runs on git diff changes to minimize costs.
Yes, like human reviewers, if the instructions are too general.
Run it only on pull requests and focus on detailed, specific rules.
No, it executes rules in parallel for efficiency.
Yes, through customizable, plain language rules.
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